Yongqi Wang is a PhD candidate in Neuroscience at Princeton University’s Krienen Lab, bringing six years of research experience in high-throughput multiome approaches to study brain organization. Trained at the University of Chinese Academy of Sciences and with coursework at MIT in Brain and Cognitive Sciences, he combines rigorous experimental design with computational analysis to interrogate cellular and circuit-level mechanisms. Based in New Jersey, he bridges advanced wet-lab techniques and data-driven neuroinformatics to translate large multimodal datasets into biological insight. Notably, his trajectory reflects international academic training and a strong focus on scalable multiomic workflows that accelerate discovery across systems neuroscience.
6 years of coding experience
Brain and Cognitive Sciences, Brain and Cognitive Sciences at Massachusetts Institute of Technology
University of Chinese Academy of Sciences
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Princeton University
Contributions:10 PRs, 39 pushes, 2 branches in 1 year 3 months
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